Generative AI Engineer(Local to Ohio)

Overview:

Engagement Type

Contract

Core Responsibilities



Developing applications that interact with web

services, APIs, and other software applications.



Mentoring and leading AI design and development

efforts as needed.



Conducting peer reviews for AI design and

development efforts to ensure existing standards are adhered to and establish additional

standards as needed.



Designing the overall structure of Agentic AI

solutions, including determining necessary features, user flow, API development

and integration with other systems. Requires understanding of API design

principles and specific constraints of AI service interfaces.



Implementing and tuning Natural Language

Processing techniques to improve AI assistants' understanding and response

accuracy.



Training and deploying AI models, and monitoring

solution performance by creating and utilizing Dashboards.



Creating custom indexes, managing data sources,

and tuning intent matches to improve accuracy and relevance of results within

the AI solution context.



Designing conversational flows that provide a

seamless and intuitive user experience, with strong focus on making the agent

interactions as human-like and engaging as possible.



Analyzing agent interaction data to identify

patterns, trends, and areas for improvement. Preparing reports on agent

performance metrics.



Identifying and resolving issues related to

agent performance, including debugging and updating the system as necessary.



Ensuring the AI agent/ conversational assistant

complies with data privacy laws and maintaining high standards of security,

especially when handling sensitive user data.



Working effectively with cross-functional teams,

including business analysts, UX designers, project managers, and business

customers and business SMEs from across the enterprise. Good communication

skills are essential.



Collaborating effectively with Automation Center

of Excellence (CoE) team members, incorporating the established standards;

adhering to organization process and ensuring that solutions align with target

architectures and technology roadmaps.



Ensuring that AI systems operate safely,

transparently and within acceptable boundaries in alignment with the

organization's governance policies and practices.



Planning, initiating and spearheading proof of

concept (POC) initiatives using emerging technologies.



Technical writing leveraging tools such as Word,

PowerPoint, Visio, SharePoint, and Excel to develop presentations and white

papers.

Skills & Credentials



Extensive knowledge and experience developing AI

Conversation agents using Google tools such as CX Agent Studio, Google

Conversational Agents, Google Dialogflow CX, and(/or) Google CCAI Services is

required.



Experience in creating and maintaining

Enterprise Looker Dashboards for monitoring performance of implemented AI

Agents is required.



Experience developing Generative AI solutions in

AWS ecosystem including but not limited to AWS services such as AWS Bedrock,

AWS Transcribe, AWS Comprehend, Lamda and Step Functions is required.



Ability to develop AI agents/ virtual assistants

using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI

Language Service, Microsoft Power Platform and Microsoft CoPilot Studio.



Ability to integrate virtual assistants with

various Microsoft services (such as Office 365, SharePoint) and third-party

APIs to enhance functionality.



Deep understanding of API design principles and

specific constraints of AI service interfaces.



Strong programming skills in languages such as

C#, .NET, JavaScript, or Python. Experience in developing, testing, and

deploying chatbot applications.



Ability to facilitate and lead discussions with

business SME's



Ability to create and present Ai solution

proposals and communicate both business and technical concepts.



Ability to lead and conduct emerging technology

analysis and conduct proof of concept initiatives.



Experience in training and deploying AI models.



Experience in leading efforts to create

technology solutions and architectures impacting critical areas of the

business.



Ability to establish and maintain a high-level

of customer trust and confidence.



Ability to think critically and solve problems.



Strong consultative skills at a cross-functional

level.

Education & Experience



Bachelor's degree in computer science,

Information systems or related discipline, or equivalent and extensive related

project experience; Master's degree preferred.



Six years of experience in IT, with at least 4

years AI Conversational Agents and (or) Generative AI combined implementation

experience using Microsoft, Google and AWS ecosystems.



2 years' AI Engineer Experience developing

Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual

Assistants is mandatory.



2 years developing Enterprise Looker Dashboards

to monitor AI Agent performance is mandatory



2 years' AI Engineer Experience in AWS

ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS

Comprehend, Lamda and Step Functions are mandatory.



Agentic AI Developer Experience using Microsoft

Foundry is preferred.



Experience developing and maintaining SharePoint

online solutions using MS Power Platform preferred.



Google and AWS Certifications relevant to this

role preferred.



Minimum of six years of hands-on design and

implementation experience in IT, with knowledge in a minimum of two of the

following technical disciplines:

o

Application development

o

Network design

o

Middleware

o

Servers and storage

o

Database management

o

Operations

o

Artificial intelligence and machine learning

fundamentals

o

Natural language processing (NLP) and large

language model (LLM) integrationRequired/Desired Skills

Skill Required/Desired Amount of Experience Bachelor's degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience Required Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience Required 6.0 Years AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants Required 2.0 Years 2 years developing Enterprise Looker Dashboards to monitor AI Agent performance Required 2.0 Years AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions Required 2.0 Years Google and AWS Certifications relevant to this role preferred. Highly desired

Skills:

Bachelor's degree in computer science,Information systems or related discipline,or equivalent and extensive related project experience,Six years of experience in IT,with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience,AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants,2 years developing Enterprise Looker Dashboards to monitor AI Agent performance,AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock,AWS Transcribe,AWS Comprehend,Lamda and Step Functions,Google and AWS Certifications relevant to this role preferred.